Titlebook: Complex Networks & Their Applications IX; Volume 1, Proceeding Rosa M. Benito,Chantal Cherifi,Marta Sales-Pardo Conference proceedings 2021

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Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Networkades. However, the SBM is limited in analyzing complex networks as the model is, in essence, a random graph model that cannot reproduce the basic properties of many complex networks, such as sparsity and heavy-tailed degree distribution. In this paper, we provide an edge exchangeable block model tha

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Spectral Clustering for Directed Networksed clustering of nodes. Spectral methods give well-established approaches to the problem in the undirected setting; however, they generally do not account for edge directionality. We consider a directed spectral method that utilizes a graph Laplacian defined for non-symmetric adjacency matrices. We

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Community Detection in a Multi-layer Network Over Social Mediammunity detection is to identify strongly connected components in a complex network. It reveals how people connect and interact with each other. In the real world, however, a person is engaged in several traits of connections, these connections or social ties carry other different challenges in comm

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Using Preference Intensity for Detecting Network Communities and this defines sub-communities of varying size. In this paper, we propose a preference implication based-method for generating overlapping structures based on a local function optimization approach. We introduce some parameters in our novel method to design the communities according to a threshol